What You'll Learn

19 Chapters · 19 Lessons

  1. 1

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  2. 2

    Chapter 1: Introduction to IoT

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      Introduction to IoT

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    Chapter 2: IoT Architecture and Ecosystem

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      IoT Architecture and Ecosystem

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    Chapter 3: Sensor Technologies and Actuators

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      Sensor Technologies and Actuators

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    Chapter 4: Networking and Communication Protocols (MQTT, HTTP, LoRa, BLE)

    1. (Included in full purchase)

      Networking and Communication Protocols (MQTT, HTTP, LoRa, BLE)

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    Chapter 5: Getting Started with Arduino, NodeMCU, and ESP32

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      Getting Started with Arduino, NodeMCU, and ESP32

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    Chapter 6: Interfacing Sensors and Modules

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      Interfacing Sensors and Modules

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    Chapter 7: Real-Time Control with GPIO, PWM and Interrupts

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      Real-Time Control with GPIO, PWM and Interrupts

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    Chapter 8: Serial Communication and Data Transmission between Devices

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      Serial Communication and Data Transmission between Devices

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    Chapter 9: Firebase, Blynk, and Google Sheets

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      Firebase, Blynk, and Google Sheets

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    Chapter 10: MQTT, REST APIs, and Webhooks for Device Communication

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      MQTT, REST APIs, and Webhooks for Device Communication

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    Chapter 11: Encryption, Device Hardening, and Authentication

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      Encryption, Device Hardening, and Authentication

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    Chapter 12: Data Logging, Alert Systems, and Notification Integration

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      Data Logging, Alert Systems, and Notification Integration

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    Chapter 13: Cloud-Backed End-to-End Projects and Enterprise IoT Integration

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      Cloud-Backed End-to-End Projects and Enterprise IoT Integration

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    Chapter 14: Introduction to ML with Sensor Data

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      Introduction to ML with Sensor Data

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    Chapter 15: Deployment, Testing, and Scaling

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      Deployment, Testing, and Scaling

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    Chapter 16: The Future of IoT

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      The Future of IoT

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    Chapter 17: Applied IoT with Edge AI and Vision

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      Applied IoT with Edge AI and Vision

  19. 19

    Index

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      Index

About the Course

Connected devices are reshaping every industry — from smart manufacturing and precision agriculture to healthcare monitoring and autonomous systems. Kickstart IoT Systems Engineering provides a comprehensive, hands-on path from core IoT concepts to production-grade, AI-enabled deployments, bridging the gap between academic foundations and real industry practice. You begin with IoT architecture, sensors, microcontrollers, and communication protocols — including MQTT, REST APIs, LoRa, and BLE — then progressively build toward cloud-connected systems using Firebase, AWS IoT Core, and enterprise integration patterns. Every chapter is grounded in practical exercises, working with Arduino, NodeMCU, and ESP32 across real-world scenarios, including data logging, alert systems, GPIO control, and secure device communication. Thus, by the end of the book, you will design secure, scalable IoT systems capable of handling real-world complexity — from a single connected sensor to an enterprise-grade deployment.

About the Author

Mr. Sandeep Telkar R is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at PES Institute of Technology & Management, Shivamogga (previously Shimoga). He holds an M.Tech in Digital Communication & Networking and a B.E. in Information Science & Engineering, with expertise in programming, machine learning, deep learning, and emerging AI technologies. Mr. Pavan Bendre R is an AI & Machine Learning Engineer and Data Engineer with expertise in Artificial Intelligence, Machine Learning, IoT systems, Data Engineering, and intelligent automation. He currently works as a Data Engineer at Saturam, where he builds scalable data pipelines and cloud-integrated intelligent solutions for real-world applications. Dr. Likewin Thomas is Professor and Head of the Department of Artificial Intelligence & Machine Learning at PES Institute of Technology and Management, Shivamogga. He holds a Ph.D. and M.Tech in Computer Science and Engineering from NITK Surathkal, and brings over two decades of experience spanning academia, industry, and research. Mrs. Akhila C V is an Assistant Professor at PES Institute of Technology and Management (PESITM), VTU, with academic qualifications in Computer Science and Engineering (B.E., M.Tech) and is currently pursuing her doctoral research. Her core areas of interest include Artificial Intelligence, Machine Learning, Data Science, and Database Management Systems. With a strong professional background of about 10 years in industry and 2.5 years in academia, she brings valuable practical perspectives into the classroom and her academic writing.